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Project Showcase

What We've Built

A reference library of integration and AI projects — Salesforce custom development, system integrations, AI voice agents, document automation, and SaaS products. Every card below is a build we can ship for your business.

100+

Projects Delivered

50+

System Integrations

24

Industries Served

100%

USA-Based Engineers

AI Inbound Receptionist Voice AI

AI Inbound Receptionist

Problem: Inbound calls overflow front desks, get sent to voicemail after-hours, and turn into lost leads — every missed call is revenue walking out the door. Solution: A 24/7 AI voice agent that answers every inbound call, qualifies the caller, books appointments directly into your scheduling system, transfers urgent issues to humans, and learns new objection patterns over time.
Captures every inbound call — 2 AM, holidays, peak-hour overflow — at a fraction of the cost of a human answering service.
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Outbound Sales Dialer Voice AI

Outbound Sales Dialer

Problem: Sales reps spend most of their day dialing, leaving voicemails, and getting bounced by gatekeepers — burning expensive seat time on tasks that don't require a human. Solution: An AI-powered outbound dialing system that runs prospect lists at scale, detects voicemail vs. live answer, leaves personalized voicemails, qualifies live prospects, and only warm-transfers to a human rep when the prospect is engaged and qualified.
Reps spend their time closing instead of dialing — cost per qualified lead drops dramatically while connect-rate metrics actually go up.
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AI Appointment Setter Voice AI

AI Appointment Setter

Problem: Scheduling coordinators overwhelmed with back-and-forth calls and no-shows. Solution: Conversational AI agent that negotiates appointment times, sends confirmations, handles rescheduling, and sends smart reminders to reduce no-shows.
No-show rate dropped from 35% to 8%. Scheduling staff reallocated to higher-value work.
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Telemarketing Automation Voice AI

Telemarketing Automation

Problem: Call center burning through budget with low conversion rates and high agent turnover. Solution: End-to-end AI telemarketing system with natural language generation, sentiment analysis, objection handling, and real-time script optimization.
Conversion rate improved 2.5x while reducing operational costs by 70%.
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AI Voice Survey System Voice AI

AI Voice Survey System

Problem: Market research firm getting 12% response rates on email surveys, missing critical customer feedback. Solution: AI voice agent that conducts phone surveys conversationally, adapts follow-up questions based on responses, and transcribes results into structured data.
Survey response rates jumped to 48%. Data quality improved significantly with conversational depth.
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Intelligent IVR Replacement Voice AI

Intelligent IVR Replacement

Problem: Legacy IVR system frustrating customers with endless menu trees and 40% call abandonment rate. Solution: Replaced rigid IVR menus with a conversational AI that understands natural language requests and routes or resolves immediately.
Call abandonment dropped to 8%. First-call resolution increased 55%.
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OCR Invoice Processing Document AI

OCR Invoice Processing

Problem: AP teams spend hours per day keying data off invoices into accounting software — slow, expensive, and prone to silent errors that don't surface until reconciliation breaks. Solution: A hybrid OCR + LLM invoice pipeline that extracts every field at 99%+ accuracy, routes exceptions to humans for review, and posts straight into your AP system via API.
AP staff stop being data-entry clerks and start being exception managers — typical throughput ~10x at a fraction of the per-invoice cost.
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Legal Document Analyzer Document AI

Legal Document Analyzer

Problem: In-house counsel spends days reviewing 100+ page contracts against playbook standards — and still misses problematic clauses that surface six months later as litigation risk. Solution: An AI contract review system that compares any uploaded contract against your playbook, flags non-standard clauses by severity, suggests redlines in your team's voice, and produces a reviewer-ready memo in minutes.
Counsel reviews a 200-page MSA in under an hour with every variance from your playbook surfaced and graded — not in days, and not with the risk of human fatigue.
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Medical Records Extraction Document AI

Medical Records Extraction

Problem: Healthcare provider manually transcribing patient records from scanned PDFs and faxes into their EHR system. Solution: HIPAA-compliant AI pipeline that extracts patient demographics, diagnoses, medications, lab results, and physician notes from any document format.
Data entry time reduced 90%. Staff redeployed to patient-facing care.
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Insurance Verification Bot Document AI

Insurance Verification Bot

Problem: Front-desk staff at medical practices spend 5–10 minutes verifying each patient's insurance — and still see denials post-visit because manual entry introduces errors, expired cards slip through, and prior-auth requirements get missed. Solution: A bot that captures the insurance card via OCR, runs real-time eligibility against the payer's 270/271 API, validates coverage and copay/deductible, flags prior-auth requirements, and writes the result back into the EHR — in under 45 seconds.
Insurance verification moves from a 10-minute front-desk bottleneck to a 45-second background check — and downstream claim denials drop significantly because errors get caught before the visit, not after.
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Receipt & Expense Processor Document AI

Receipt & Expense Processor

Problem: Finance team manually processing 2,000+ expense receipts monthly with 3-week reimbursement delays. Solution: AI system that reads receipts from photos, categorizes expenses, checks against policy, and auto-generates expense reports ready for approval.
Reimbursement cycle cut from 3 weeks to 3 days. Policy violations caught automatically.
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Document Classification & Routing Document AI

Document Classification & Routing

Problem: Shared inbox receiving 500+ documents daily with no automated way to route them to the right department. Solution: AI classifier that identifies document type, extracts key metadata, and routes to the correct team with priority scoring.
Document routing accuracy hit 97%. Average handling time reduced from 2 hours to 8 minutes.
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Email Journey Builder Automation

Email Journey Builder

Problem: Marketing team sending generic blasts with declining open rates and minimal personalization. Solution: AI-driven email automation that segments audiences, generates personalized copy, A/B tests subject lines, and optimizes send times.
Open rates increased 3x. Revenue from email channel grew 180% in 90 days.
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CRM Pipeline Automation Automation

CRM Pipeline Automation

Problem: Reps spend hours per week logging calls, updating stages, and chasing follow-ups — work that quietly drops between the cracks and lets winnable deals stall in the pipeline. Solution: A CRM automation layer that auto-logs calls and emails into the right opportunity, scores each deal in real time, surfaces the next-best action for every rep every morning, and triggers automated follow-ups when prospects go cold.
Reps spend their time selling, not maintaining the CRM — and the pipeline becomes a living forecast your CRO can actually trust.
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IT Helpdesk Bot Automation

IT Helpdesk Bot

Problem: IT support team drowning in repetitive tickets: password resets, VPN issues, software access requests. Solution: AI helpdesk agent deployed in Slack/Teams that resolves L1 tickets autonomously, provisions access, resets credentials, and escalates with full context.
68% of IT tickets resolved without human involvement. Average resolution from 4 hours to 3 minutes.
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HR Onboarding Automation Automation

HR Onboarding Automation

Problem: HR team manually processing new hire paperwork, provisioning accounts, and scheduling orientation across 6 different systems. Solution: Unified AI onboarding workflow that collects documents, runs background checks, provisions access, schedules training, and sends personalized welcome sequences.
Onboarding time from 2 weeks to 2 days. New hire satisfaction scores up 45%.
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Supply Chain Automation Automation

Supply Chain Automation

Problem: Procurement team manually tracking inventory levels, reorder points, and supplier communications across spreadsheets. Solution: AI-powered supply chain system that predicts demand, auto-generates purchase orders, monitors supplier performance, and optimizes inventory levels.
Stockouts reduced 80%. Inventory carrying costs down 25%. Procurement team handles 3x volume.
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Social Media Content Engine Automation

Social Media Content Engine

Problem: Marketing coordinator spending 20+ hours/week creating, scheduling, and managing social media content across 5 platforms. Solution: AI content engine that generates platform-specific posts, optimizes scheduling, responds to comments, and reports performance analytics.
Social media output increased 4x. Engagement rate doubled. Content creation time reduced 80%.
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AI Accounting Reconciliation Automation

AI Accounting Reconciliation

Problem: Month-end close taking 12 days due to manual bank reconciliation and transaction matching across systems. Solution: AI reconciliation engine that matches transactions across bank feeds, ERP, and payment processors, flagging only genuine discrepancies for human review.
Month-end close reduced from 12 days to 3. Reconciliation accuracy reached 99.8%.
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Personal LLM Deployment Custom Tools

Personal LLM Deployment

Problem: Enterprise needed a private AI assistant trained on proprietary data without sending sensitive info to third-party APIs. Solution: Deployed a fine-tuned LLM on client infrastructure with RAG pipeline over internal knowledge bases, SOPs, and historical data.
Employees get instant answers from company knowledge. Research time reduced 75%.
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AI Content Rewriter Custom Tools

AI Content Rewriter

Problem: Content team struggling to repurpose existing articles for different channels and audiences at scale. Solution: Built AIRewrite.dev — a tool that ingests any article and regenerates it for different formats while maintaining brand voice and SEO optimization.
Content output increased 5x. Organic traffic grew 120% in 6 months.
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Traffic Analysis Dashboard Custom Tools

Traffic Analysis Dashboard

Problem: Marketing director couldn't get real-time visibility into which campaigns were actually driving qualified traffic. Solution: AI-powered traffic analysis tool that monitors all channels in real-time, attributes conversions accurately, and recommends budget reallocation.
Ad spend efficiency improved 55%. ROI visibility went from monthly reports to real-time.
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Big String AI Custom Tools

Big String AI

Problem: Developers and analysts needed to query AI with massive context windows for complex data analysis tasks. Solution: Built BigStringAI — a service for querying AI with massive context, processing documents up to hundreds of thousands of tokens via API or chat.
Users process entire codebases and document sets in single queries. API adopted by 200+ developers.
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AI Code Review Assistant Custom Tools

AI Code Review Assistant

Problem: Engineering team spending 30% of developer time on code reviews with inconsistent quality standards. Solution: AI code review bot that analyzes PRs for bugs, security issues, style violations, and performance problems before human review.
Code review time cut 50%. Bug escape rate to production dropped 70%.
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AI Data Pipeline Monitor Custom Tools

AI Data Pipeline Monitor

Problem: Data team discovering pipeline failures hours or days after they occurred, causing downstream reporting errors. Solution: AI monitoring system that watches data pipelines, detects anomalies in real-time, diagnoses root causes, and auto-remediates common failures.
Mean time to detection dropped from 6 hours to 30 seconds. Pipeline reliability reached 99.9%.
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AI PDF Report Generator Custom Tools

AI PDF Report Generator

Problem: Consulting firm spending 10+ hours per client creating custom PDF reports with data analysis and recommendations. Solution: AI system that pulls client data, generates analysis, writes narrative insights, and produces branded PDF reports automatically.
Report generation reduced from 10 hours to 15 minutes. Consultants serve 4x more clients.
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Tennis Performance AI Industry

Tennis Performance AI

Problem: Sports analytics for tennis (and most non-mainstream sports) is locked behind enterprise broadcast budgets — leaving most coaches and players with no way to extract real video insights from their own match footage. Solution: A computer-vision system that ingests any standard match video, tracks every ball and player position frame-by-frame, computes shot-level metrics (speed, spin, placement, depth), and surfaces coaching insights from rally-pattern analysis.
Coaches and players get broadcast-grade match analytics from a phone-recorded video — without a broadcast crew, without enterprise pricing, and without manual tagging.
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Medical Diagnosis Support Industry

Medical Diagnosis Support

Problem: Radiology department overwhelmed with imaging volume, leading to delayed reads and burnout. Solution: AI-assisted diagnostic tool that pre-screens medical images, flags anomalies, prioritizes urgent cases, and provides preliminary findings.
Read times decreased 40%. Critical findings flagged within minutes instead of hours.
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Physics Simulation Assistant Industry

Physics Simulation Assistant

Problem: Research team spending weeks setting up and iterating on complex physics simulations with manual parameter tuning. Solution: AI assistant that understands simulation parameters, suggests optimal configurations, predicts outcomes, and auto-tunes based on desired results.
Simulation iteration cycles reduced from weeks to hours. Two new papers published in first quarter.
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SEO Rank Optimizer Industry

SEO Rank Optimizer

Problem: Agency managing 50+ client sites couldn't scale SEO audits, keyword research, and content optimization. Solution: AI SEO platform that crawls sites, identifies technical issues, generates optimized meta tags, suggests content improvements, and tracks rankings.
Average client ranking improved 32 positions. Agency scaled to 120 clients with same team.
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Real Estate Valuation AI Industry

Real Estate Valuation AI

Problem: Real estate fund spending $50K/month on manual property valuations that took 2 weeks per deal. Solution: AI valuation model that analyzes comparable sales, market trends, property features, and satellite imagery to produce institutional-grade valuations in minutes.
Valuation time cut from 2 weeks to 30 minutes. Model accuracy within 3% of human appraisals.
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Agriculture Crop Monitoring AI Industry

Agriculture Crop Monitoring AI

Problem: Farm operation detecting crop disease and irrigation issues too late, causing 15% annual yield loss. Solution: Drone and satellite imagery AI that monitors crop health, detects disease early, optimizes irrigation, and predicts yield.
Yield loss reduced from 15% to 3%. Water usage optimized by 30%.
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Quantum Computing Research Assistant Industry

Quantum Computing Research Assistant

Problem: Quantum computing research team spending excessive time on literature reviews and circuit optimization. Solution: AI research assistant specialized in quantum computing that searches papers, suggests circuit optimizations, and simulates results.
Literature review time cut 80%. Circuit optimization suggestions led to 2 patent filings.
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Customer Service AI Chatbot Web / SaaS

Customer Service AI Chatbot

Problem: Support queues grow faster than hiring can keep up — and the bulk of tickets are routine questions (password reset, refund status, billing fixes) that don't need a human's time but block humans from harder problems. Solution: A conversational AI agent that resolves the top 50–80% of support tickets autonomously — password resets, refund lookups, plan changes, billing fixes — and seamlessly hands off to humans for everything else with full context preserved.
Ticket volume in the human queue drops dramatically while customer satisfaction goes up, because the AI resolves common issues in seconds rather than waiting on a backed-up support team.
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SalesforceStack Blog Platform Web / SaaS

SalesforceStack Blog Platform

Problem: Needed a high-authority content hub to drive organic traffic for Salesforce consulting services. Solution: Built SalesforceStack.com with AI-generated, expert-reviewed content covering Salesforce implementations, integrations, and best practices.
Ranked on page 1 for 40+ Salesforce keywords. Generates 15K+ organic visits monthly.
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AI-Powered E-Commerce Platform Web / SaaS

AI-Powered E-Commerce Platform

Problem: Niche collectibles marketplace needed intelligent product matching, pricing, and fraud detection. Solution: Built LimitedMouse.com with AI-powered product recommendations, dynamic pricing, computer vision authentication, and listing optimization.
Average order value increased 35%. Fraudulent listings detected and removed within minutes.
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AI Image Generation Platform Web / SaaS

AI Image Generation Platform

Problem: Marketing agency spending $5K+/month on stock photos and waiting days for custom graphics. Solution: Custom image generation platform with brand-specific fine-tuned models, style presets, batch generation, and design workflow integration.
Creative asset production time cut 90%. Stock photo budget eliminated entirely.
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LinkToCalendar Integration Platform Web / SaaS

LinkToCalendar Integration Platform

Problem: Businesses needed a simple way to let customers add events and appointments to their calendars from any platform. Solution: Built LinkToCalendar.com — a universal calendar integration API that generates add-to-calendar links for Google, Apple, Outlook, and more.
Adopted by 500+ businesses. Event attendance rates increased 25% for users of the platform.
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IPFetch.dev IoT Platform Web / SaaS

IPFetch.dev IoT Platform

Problem: IoT developers wasting hours tracking device IP addresses across dynamic networks. Solution: Built IPFetch.dev — a service that discovers and tracks IP addresses of IoT and network devices with real-time monitoring and alerting.
Device discovery time reduced from hours to seconds. Adopted by 300+ developers.
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AIRewrite.dev Web / SaaS

AIRewrite.dev

Problem: Content creators and marketers needing to quickly rewrite and optimize existing content at scale. Solution: Built AIRewrite.dev — a web tool for rewriting blog posts, articles, and marketing copy with tone control, SEO optimization, and plagiarism checking.
10,000+ articles rewritten. Average content quality score improved 40%.
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AI Customer Churn Prediction Automation

AI Customer Churn Prediction

Problem: SaaS and subscription businesses lose customers they could have saved — because by the time the renewal team realizes a customer is at risk, the decision has already been made internally on the customer's side. Solution: A predictive churn model that watches product usage, support, billing, and engagement signals to identify at-risk customers 30–90 days before cancellation — paired with a recommended-play engine that tells your CS team exactly what to do for each one.
Customer success goes from reactive (firefighting after the cancellation email) to proactive (executing a specific save play 60 days before the renewal conversation) — and recovered ARR pays for the system in the first quarter.
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AI Recruitment & Resume Screening Automation

AI Recruitment & Resume Screening

Problem: HR team spending 40+ hours per open role manually reviewing 500+ applications with inconsistent evaluation criteria. Solution: AI screening system that parses resumes, scores candidates against role-specific criteria, identifies top matches, and generates structured interview prep for hiring managers.
Time-to-hire reduced 60%. Quality of hire improved — 90-day retention up 35%.
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AI Meeting Notes & Action Tracker Custom Tools

AI Meeting Notes & Action Tracker

Problem: Teams losing 5+ hours per week to meeting follow-ups, forgotten action items, and 'what did we decide?' conversations. Solution: AI that records meetings, generates structured summaries, extracts action items with owners and deadlines, and syncs to project management tools.
Meeting follow-up time eliminated. Action item completion rate improved from 40% to 92%.
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Predictive Cash Flow Management Automation

Predictive Cash Flow Management

Problem: CFO relying on spreadsheets to forecast cash flow, getting blindsided by shortfalls that required emergency credit lines. Solution: AI forecasting engine that predicts cash flow 90 days out, identifies late payment risks, and recommends actions to prevent crunches.
Cash flow forecast accuracy improved from 65% to 94%. Zero emergency credit line draws in 18 months.
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AI-Powered Collections & AR Management Automation

AI-Powered Collections & AR Management

Problem: Accounts receivable processes are stuck in one of two failure modes — too soft (invoices age into write-offs) or too aggressive (collections damages the customer relationship and burns the LTV that took years to build). Solution: An AR automation system that predicts which accounts will go late, drafts tone-matched outreach (gentle email, SMS reminder, friendly call, hardship plan), follows up on the schedule most likely to convert, and offers payment links that close the loop in one click — without ever sounding like a collections agency.
Cash gets in the door faster, write-offs drop, and customer NPS stays intact — because the AR motion finally treats customers like the people they are, not collections targets.
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Predictive Maintenance System Industry

Predictive Maintenance System

Problem: Unplanned equipment failure is the single most expensive event in any manufacturing or distribution operation — and the warning signals are visible in sensor data days or weeks before the failure, sitting in operational dashboards nobody actually monitors. Solution: A predictive maintenance system that ingests vibration, temperature, acoustic, and current-draw data from existing equipment sensors, learns each asset's normal operating envelope, and predicts time-to-failure with enough lead time to schedule the repair on planned downtime rather than at 3 AM on a Saturday.
Equipment failures move from emergencies to scheduled work — production downtime drops, parts get ordered in advance, and the maintenance team operates proactively instead of reactively.
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AI Visual Quality Inspection Industry

AI Visual Quality Inspection

Problem: Food packaging company relying on human inspectors catching only 87% of defects, with 3% of defective products reaching customers. Solution: Computer vision system inspecting every product on the line at full speed, detecting surface defects, label errors, seal integrity issues, and contamination.
Defect detection rate reached 99.7%. Customer complaints dropped 90%. Inspection speed increased 5x.
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AI Dynamic Pricing Engine Custom Tools

AI Dynamic Pricing Engine

Problem: E-commerce company leaving revenue on the table with static pricing while competitors adjusted in real-time. Solution: AI pricing engine that adjusts prices dynamically based on demand, competition, inventory levels, time of day, and customer segment.
Revenue increased 18% with same traffic. Margin improved 12%. Competitive win rate up 25%.
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Intelligent Inventory Management Automation

Intelligent Inventory Management

Problem: Restaurant chain with 25 locations wasting $40K/month in food spoilage while simultaneously running out of popular items. Solution: AI inventory system using sales forecasting, weather data, and event calendars to predict demand per item per location and auto-generate prep lists and orders.
Food waste reduced 55%. Stockouts dropped 80%. Inventory carrying cost down 30%.
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AI Warehouse Operations Optimizer Industry

AI Warehouse Operations Optimizer

Problem: Most warehouses run on pick paths designed for a different SKU mix, with bin assignments that haven't been re-optimized since the building opened — leading to pickers walking more miles per shift than they should and accuracy creeping down as volume scales. Solution: An optimization system that re-computes pick paths in real time using current bin contents and current order waves, re-ranks SKU placement weekly based on actual order frequency, and surfaces accuracy and throughput patterns at the picker level.
Pickers walk less, pick faster, and make fewer mistakes — and the warehouse handles more volume with the same labor, in the same building, with no capital spend.
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AI Fraud Detection & Prevention Industry

AI Fraud Detection & Prevention

Problem: Rules-based fraud detection catches the obvious cases and misses everything subtle — coordinated card-testing rings, mule account networks, device-fingerprint reuse — until the chargebacks show up weeks later and the loss is already absorbed. Solution: A multi-signal AI fraud detection layer that scores every transaction in real time against device, velocity, geo, behavioral, and network signals; explains every block with the specific signals that triggered it; and continuously learns from confirmed fraud and false positives.
Fraud loss drops dramatically, false positives stay low enough that your CX team doesn't get buried in chargeback disputes, and the system catches coordinated attacks days before a rules engine would have noticed.
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AI Compliance Monitoring & Audit Industry

AI Compliance Monitoring & Audit

Problem: Compliance programs are run on spreadsheets, screenshots, and quarterly fire drills — most of the work is collecting evidence that controls were operating throughout the year, manually, from systems that already have it. Solution: A continuous compliance system that connects to your actual production stack (AWS, Okta, GitHub, your databases, your IDP), auto-collects evidence on a 24/7 cadence, runs control tests automatically, and produces audit-ready packets across SOC 2, HIPAA, ISO 27001, PCI DSS, and any custom framework.
Audit prep moves from a quarter-long fire drill to a continuous process — and 'audit-ready' becomes a live percentage on a dashboard, not a hope.
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Healthcare Revenue Cycle Management AI Industry

Healthcare Revenue Cycle Management AI

Problem: Healthcare practices lose 5–12% of revenue to claim denials that are technically recoverable — but the manual work to identify, re-code, appeal, and re-submit them isn't worth the staff time, so the money becomes write-off. Solution: A revenue cycle automation layer that classifies every denied claim by root cause, auto-corrects coding and eligibility issues at machine scale, drafts appeals using payer-specific language, and prioritizes high-dollar recoverable claims for the human team.
Money the practice was about to write off comes back — typically several percentage points of net revenue — and the billing team's time goes to high-judgment cases instead of repetitive corrections.
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Custom Salesforce Integrations Salesforce

Custom Salesforce Integrations

Problem: Salesforce is the system of record for revenue, but most companies have 8–15 other systems — web forms, marketing platforms, e-commerce, support tools, billing, signing — that don't natively talk to it. So reps work in spreadsheets, finance reconciles by hand, and data gets re-keyed or quietly lost between systems. Solution: Custom-built integrations that connect Salesforce to whatever's on the other end of the data flow — forms, marketing tools, e-commerce, ERPs, support tools, custom apps. Bidirectional, real-time or scheduled, with deduplication, retry logic, and an audit trail finance can actually query.
Whatever your stack looks like, Salesforce becomes the single source of truth — without rip-and-replace, without a $40K/year iPaaS license, and without giving up control of your code.
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AI Loan & Credit Underwriting Industry

AI Loan & Credit Underwriting

Problem: Manual loan underwriting takes days to weeks while applicants shop competitors with instant decisions — and the rules-based engines that promise speed produce defaults that wreck portfolio performance because they only see traditional credit signals. Solution: A real-time underwriting system that pulls alternative data (cash flow stability, bank-verified income, rent and utility payment history, employment continuity), runs a calibrated default-probability model with explainable scoring, generates automatic adverse-action notices when needed, and writes the decision back with a full compliance trail.
Decisions in single-digit seconds, default rates measurably lower than rules-based engines, and a documented compliance trail that survives CFPB and fair-lending scrutiny.
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AI Proposal & RFP Generator Custom Tools

AI Proposal & RFP Generator

Problem: Professional services firm spending 40+ hours per RFP response with a 15% win rate. Solution: AI system that ingests RFP requirements, pulls from a library of past winning proposals, generates tailored responses, and formats to specification.
RFP response time cut from 40 hours to 6. Win rate improved from 15% to 32%. Bid volume doubled.
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AI Vendor & Supplier Scoring Automation

AI Vendor & Supplier Scoring

Problem: Procurement team blindsided by supplier delivery failures 3-4 times per quarter, causing production delays and rush shipping costs. Solution: AI supplier intelligence platform that evaluates reliability, predicts delivery risks, monitors financial health, and recommends alternative sources.
Supplier-caused disruptions reduced 85%. Rush shipping costs down 70%. Procurement team efficiency up 40%.
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AI Customer Sentiment Dashboard Custom Tools

AI Customer Sentiment Dashboard

Problem: Consumer brand tracking customer satisfaction through quarterly NPS surveys, missing real-time sentiment shifts that caused PR crises. Solution: AI dashboard aggregating reviews, social mentions, support tickets, and survey data into a real-time sentiment map with automatic insight generation.
Detected sentiment shifts 3 weeks earlier than surveys. PR response time improved from days to hours. NPS improved 18 points.
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Call Center Agent Coaching AI Voice AI

Call Center Agent Coaching AI

Problem: Call center with 60 agents showing 40% performance variance between top and bottom performers with no scalable coaching. Solution: AI that listens to calls in real-time, provides live coaching prompts, scores every call automatically, and identifies specific skill gaps per agent.
Average handle time reduced 20%. First-call resolution up 35%. Bottom-quartile agents improved to median within 60 days.
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Automated Regulatory Filing Automation

Automated Regulatory Filing

Problem: Insurance company spending 800+ staff hours per quarter on regulatory filings across 12 states with 2-3 late filing penalties per year. Solution: AI system that aggregates data from multiple systems, generates state-specific regulatory reports, validates for errors, and submits on schedule.
Filing preparation time cut 85%. Zero late filings in 24 months. Compliance team reallocated to strategic work.
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Mobile App Development (iOS & Android) Mobile Apps

Mobile App Development (iOS & Android)

Problem: Most product teams end up with two half-finished mobile builds — a rushed iOS app, an Android app that lags releases by months, and a web product that doesn't share a single line of business logic. Crashes spike, App Store and Play Store reviews diverge, and every new feature is rebuilt three times. Solution: A single cross-platform mobile build (React Native or Flutter) that ships to both App Store and Google Play from one codebase, with native modules where it matters (camera, biometrics, notifications, secure storage), CI/CD wired into both stores, in-app analytics, crash reporting, and a release process that actually keeps iOS and Android feature-parity.
One product team, two stores, one release cadence — production-grade mobile apps that pass App Store and Play Store review the first time, ship updates weekly, and stay within 1% crash-free-session targets on both platforms.
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SEO & Paid Ads Growth Engine Industry

SEO & Paid Ads Growth Engine

Problem: Six figures a year burning on Google Ads, flat organic traffic, and nobody on the team can answer the simple question: of every dollar we spent on search last month, which keywords actually drove pipeline — not clicks, not form fills, real revenue? Solution: A complete SEO and paid advertising engine delivered in three layers — Foundation (GA4 + server-side GTM with clean conversion tracking and technical SEO), Scale (Performance Max with tROAS, programmatic SEO landing pages, audience layering, Looker Studio reporting), and Advanced (LTV-weighted Smart Bidding, BigQuery attribution, data-driven models, automated search query mining).
Organic traffic up 312% in 12 months. Blended ROAS up 4.8x. Cost per acquisition cut by 62%. Every dollar of paid and organic spend tied back to pipeline in a single Looker Studio dashboard.
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Nonprofit Platforms & Donor Operations Industry

Nonprofit Platforms & Donor Operations

Problem: Nonprofits run on five disconnected tools — Salesforce NPSP or HubSpot for some donors, Classy or Givebutter for online giving, Mailchimp for newsletters, QuickBooks for accounting, and a spreadsheet for grants. Online gifts don't match major-gift records, restricted funds get coded wrong in accounting, applications and screenings live in Google Forms, and grant reports take a week per funder because outcome data lives in three places. Solution: Custom-built digital infrastructure for nonprofits — donor CRMs that actually talk to the fundraising platform, application and screening flows for cohort-based programs, event and ceremony scheduling, restricted-fund-aware accounting integrations, grant reporting that writes itself, and public-facing program sites — built on the tools you already pay for. No $40K/year vendor lock-in. Code you own.
Mission staff stop being data-entry clerks and start being program staff. The development team focuses on fundraising. Finance gets real-time restricted-fund visibility. Grant reports go from a week per funder to a couple of hours. Every dollar — restricted, unrestricted, in-kind, pledged, received — is traceable end to end.
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Game Design & Development Gaming

Game Design & Development

Problem: Game projects fail in the same predictable ways — engine choice gets made before anyone scopes the actual game, multiplayer netcode gets bolted on after the prototype is already coupled to a single-player flow, asset pipelines turn into a content-team bottleneck, and the live build sits six months behind the design doc because nobody wired CI/CD or live-ops infrastructure. By launch, the team is rebuilding the engine instead of shipping content. Solution: Full-stack game design and development — concept and core-loop prototyping, engine selection, authoritative multiplayer netcode, persistent backend (accounts, characters, inventory, economy, leaderboards), pixel-art and sprite-sheet pipeline, anti-cheat, live-ops infrastructure (events, drops, balance patches), and launch to web, desktop (Steam), iOS, and Android. Engine-agnostic — Phaser, PixiJS, Unity, Godot, Unreal, custom WebGL — chosen on the actual game, not on familiarity.
A shipped, playable game with the infrastructure to keep shipping content after launch — not a prototype that died on a designer's hard drive. Multiplayer netcode that actually works under load, a backend that survives a front-page Reddit hit, an asset pipeline a designer can use without an engineer in the loop, and a build pipeline that ships weekly.
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If it can be integrated, automated, or built — we ship it. Let's talk about what to build for you.

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